Junwei Duan
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
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- Face and Expression Recognition
- Image Enhancement Techniques
- Advanced Neural Network Applications
Papers in
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- Machine Learning and ELM 11
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- Face and Expression Recognition 8
- Co-authors
- C. L. Philip Chen (15 shared papers)Long Chen (13 shared papers)Weiping Ding (3 shared papers)Yinghui Li (2 shared papers)Zhiguo Zhou (7 shared papers)Junwei Jin (3 shared papers)Jie Duan (3 shared papers)Yanting Li (2 shared papers)
In The Last Decade
Junwei Duan
50 papers receiving 638 citations
Junwei Duan's Hit Papers
Peers
Comparison fields: 5 of 114
- Media Technology 92
- Computer Vision and Pattern Recognition 167
- Neurology 51
- Health Informatics 6
- Artificial Intelligence 152
Countries citing papers authored by Junwei Duan
This map shows the geographic impact of Junwei Duan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junwei Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Duan more than expected).
Fields of papers citing papers by Junwei Duan
This network shows the impact of papers produced by Junwei Duan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junwei Duan. The network helps show where Junwei Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei Duan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning based multimodal biomedical data fusion: An overview and comparative review Hit paper breakdown → | 2024 | 126 |
| 2 | 2021 | 50 | |
| 3 | 2018 | 40 | |
| 4 | 2021 | 40 | |
| 5 | 2022 | 37 | |
| 6 | 2018 | 34 | |
| 7 | 2021 | 29 | |
| 8 | 2016 | 25 | |
| 9 | 2020 | 24 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2025 | 10 |
About Junwei Duan
Junwei Duan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Neurology and Cognitive Neuroscience, having authored 60 papers that have together received 650 indexed citations. Recurring topics across this work include Machine Learning and ELM (11 papers), Face and Expression Recognition (8 papers), Brain Tumor Detection and Classification (8 papers), Advanced Image Fusion Techniques (7 papers), EEG and Brain-Computer Interfaces (7 papers), Remote-Sensing Image Classification (6 papers), Image Processing Techniques and Applications (4 papers) and Infrared Target Detection Methodologies (4 papers). The work is most often cited by research in Media Technology (92 citations), Computer Vision and Pattern Recognition (167 citations), Neurology (51 citations), Health Informatics (6 citations) and Artificial Intelligence (152 citations). Junwei Duan has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include C. L. Philip Chen, Long Chen, Weiping Ding, Yinghui Li, Zhiguo Zhou, Junwei Jin, Jie Duan, Yanting Li, Kaiyuan Liu and Liang Zhao. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Frontiers in Neuroscience, IEEE Sensors Journal and Neurocomputing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.